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LSTM spatial co-transformer networks for registration of 3D fetal US and MR brain images

Wright R, Khanal B, Gomez A, Skelton E, Matthew J, Hajnal JV, Rueckert D, Schnabel JA (2018)

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Publication Type: Conference contribution

Publication year: 2018

Journal

Publisher: Springer Verlag

Book Volume: 11076 LNCS

Pages Range: 149-159

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: Granada, ESP

ISBN: 9783030008062

DOI: 10.1007/978-3-030-00807-9_15

Abstract

In this work, we propose a deep learning-based method for iterative registration of fetal brain images acquired by ultrasound and magnetic resonance, inspired by “Spatial Transformer Networks”. Images are co-aligned to a dual modality spatio-temporal atlas, where computational image analysis may be performed in the future. Our results show better alignment accuracy compared to “Self-Similarity Context descriptors”, a state-of-the-art method developed for multi-modal image registration. Furthermore, our method is robust and able to register highly misaligned images, with any initial orientation, where similarity-based methods typically fail.

Involved external institutions

How to cite

APA:

Wright, R., Khanal, B., Gomez, A., Skelton, E., Matthew, J., Hajnal, J.V.,... Schnabel, J.A. (2018). LSTM spatial co-transformer networks for registration of 3D fetal US and MR brain images. In Andrew Melbourne, Rosalind Aughwane, Emma Robinson, Roxane Licandro, Melanie Gau, Martin Kampel, Matthew DiFranco, Paolo Rota, Roxane Licandro, Pim Moeskops, Ernst Schwartz, Antonios Makropoulos (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 149-159). Granada, ESP: Springer Verlag.

MLA:

Wright, Robert, et al. "LSTM spatial co-transformer networks for registration of 3D fetal US and MR brain images." Proceedings of the 1st International Workshop on Data Driven Treatment Response Assessment, DATRA 2018 and 3rd International Workshop on Preterm, Perinatal, and Paediatric Image Analysis, PIPPI 2018 Held in Conjunction with 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, Granada, ESP Ed. Andrew Melbourne, Rosalind Aughwane, Emma Robinson, Roxane Licandro, Melanie Gau, Martin Kampel, Matthew DiFranco, Paolo Rota, Roxane Licandro, Pim Moeskops, Ernst Schwartz, Antonios Makropoulos, Springer Verlag, 2018. 149-159.

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